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checkpoints-mistral-300M-FA2

This model is a fine-tuned version of None on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 7.9175

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0006
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • gradient_accumulation_steps: 256
  • total_train_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=0.0001
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 1000
  • training_steps: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
7.9131 0.18 100 7.9175

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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Model size
355M params
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F32
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